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X Demographics
Mendeley readers
Attention Score in Context
| Title |
OMICS Technologies and Applications in Sugar Beet
|
|---|---|
| Published in |
Frontiers in Plant Science, June 2016
|
| DOI | 10.3389/fpls.2016.00900 |
| Pubmed ID | |
| Authors |
Yongxue Zhang, Jingdong Nan, Bing Yu |
| Abstract |
Sugar beet is a species of the Chenopodiaceae family. It is an important sugar crop that supplies approximately 35% of the sugar in the world. Sugar beet M14 line is a unique germplasm that contains genetic materials from Beta vulgaris L. and Beta corolliflora Zoss. And exhibits tolerance to salt stress. In this review, we have summarized OMICS technologies and applications in sugar beet including M14 for identification of novel genes, proteins related to biotic and abiotic stresses, apomixes and metabolites related to energy and food. An OMICS overview for the discovery of novel genes, proteins and metabolites in sugar beet has helped us understand the complex mechanisms underlying many processes such as apomixes, tolerance to biotic and abiotic stresses. The knowledge gained is valuable for improving the tolerance of sugar beet and other crops to biotic and abiotic stresses as well as for enhancing the yield of sugar beet for energy and food production. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 22% |
| Researcher | 10 | 19% |
| Student > Bachelor | 6 | 11% |
| Student > Master | 5 | 9% |
| Student > Doctoral Student | 3 | 6% |
| Other | 6 | 11% |
| Unknown | 12 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 43% |
| Biochemistry, Genetics and Molecular Biology | 4 | 7% |
| Chemical Engineering | 3 | 6% |
| Engineering | 3 | 6% |
| Chemistry | 2 | 4% |
| Other | 4 | 7% |
| Unknown | 15 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 June 2016.
All research outputs
#20,334,427
of 22,879,161 outputs
Outputs from Frontiers in Plant Science
#16,165
of 20,270 outputs
Outputs of similar age
#305,295
of 352,770 outputs
Outputs of similar age from Frontiers in Plant Science
#409
of 536 outputs
Altmetric has tracked 22,879,161 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,270 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 352,770 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 536 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.